Create comedic marketing reels with Sora2, OpenAI & auto-post to social media
Viral Marketing Reel & Autopost with Sora2 + Blotato Create funny, ultra-realistic marketing reels on autopilot using n8n, Sora2, Blotato, and OpenAI. This beginner-friendly template generates a comedic video prompt, creates a 12-second Sora2 video, writes a caption, and auto-posts to Instagram/TikTok — all on a schedule. 🎥 Watch the full step-by-step tutorial: https://www.youtube.com/watch?v=lKZknEzhivo What this template does This workflow automates an entire short-form content production pipeline: Scheduled Trigger: Runs automatically at your chosen time (e.g., every evening at 7PM). AI “Video Prompt Agent”: Creates a cinematic, funny, 12-second Sora2 text-to-video prompt designed to promote a product (default: Sally’s Coffee). Insert Row (Data Table): Logs each generated video prompt for tracking, reuse, or inspiration. Sora2 (via Wavespeed): Sends POST request to generate a video. Waits 30 seconds. Polls the prediction endpoint until the video is completed. Blotato Integration: Uploads the finished video to your connected social account(s). Automatically publishes or schedules the post. Caption Generator: Uses an AI agent to create an Instagram/TikTok-ready caption with relevant hashtags. This turns n8n into a hands-free comedic marketing engine that writes, creates, and posts content for you. Why it’s useful Create daily or weekly marketing reels without filming, editing, or writing scripts. Experiment with new comedic formats, hooks, and product placements in seconds. Perfect for small businesses, agencies, creators, and social media managers. Demonstrates how to combine AI agents + Sora2 + polling + external posting services inside one workflow. Requirements Before running this template, configure: OpenAI API Key (for the prompt agent & caption model) Wavespeed / Sora2 API credentials Blotato account connected to Instagram/TikTok (for posting) n8n Data Table (optional, or replace with your own) ⚠️ All credentials must be added manually after import. No real credentials are included in the template. How it works Schedule Trigger Runs at a fixed time or interval. Video Prompt Agent (LangChain Agent) Generates a cinematic, realistic comedic video idea. Built with a detailed system prompt. Ensures brand integration (e.g., Sally’s Coffee) happens naturally. Insert Row (Data Table) Logs each generated prompt so future videos can be referenced or reused. Sora2 POST Request Sends the generated prompt to Sora2 via Wavespeed’s /text-to-video endpoint. Wait 30s + GET Sora2 Result Polls the result until data.status === "completed". Continues looping if still “processing”. Upload Media (Blotato) Uploads the finished video file. Caption Generator Creates a funny, platform-ready Instagram/TikTok caption with hashtags. Create Post (Blotato) Publishes (or schedules) the video + caption. Setup Instructions (Step-by-Step) Import template into n8n. Open Video Prompt Agent → review or customize the brand name, style, humor tone. Add your OpenAI API credentials: For prompt generation For caption generation Add your Wavespeed/Sora2 credentials to the POST and GET nodes. Connect your Blotato credential for uploading and posting. (Optional) Replace the Data Table ID with your own table. Adjust the Schedule Trigger time to your desired posting schedule. Run once manually to confirm: Prompt is generated Video is created Caption is written Video uploads successfully Enable workflow → your daily/weekly comedic autoposter is live. Customization Ideas Change the brand from Sally’s Coffee to any business, product, or influencer brand. Modify the prompt agent to enforce specific camera styles, settings, or comedic tones. Swap posting destinations: Blotato supports multiple networks—configure IG/TikTok/Facebook/YouTube Shorts. Add approval steps: Insert a Slack/Telegram “Approve before posting” step. Add analytics logging: Store video URLs, caption, and AI cost estimate. Troubleshooting Sora video stuck in processing: Increase the wait time or add another polling loop. Upload fails: Ensure media URL exists and Blotato account has posting permissions. Caption empty: Reconnect OpenAI credential or check model availability. Posting fails: Confirm your Blotato API key is valid and linked to a connected account. Category: Marketing, AI Video, Social Media Automation Difficulty: Beginner–Intermediate Core Nodes: LangChain Agent, HTTP Request, Wait, Data Table, Blotato, OpenAI Includes: System prompts, polling logic, caption generator, posting workflow
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By tanaypantAutomate content publishing across 25 social media channels with Airtable & Postiz
How it works • Webhook triggers from content creation system in Airtable • Downloads media (images/videos) from Airtable URLs • Uploads media to Postiz cloud storage • Schedules or publishes content across multiple platforms via Postiz API • Tracks publishing status back to Airtable for reporting Set up steps • Sign up for Postiz account at https://postiz.com/?ref=max • Connect your social media channels in Postiz dashboard • Get channel IDs and API key from Postiz settings • Add Postiz API key to n8n credentials (Header Auth) • Update channel IDs in "Prepare for Publish" node • Connect Airtable with your content database • Customize scheduling times per platform as needed • Full setup details in workflow sticky notes
By Max aka MoshehAutomated inventory management with Airtable PO creation & supplier emails
In-depth description of this automation: This is a fully automated daily supply chain and procurement workflow that keeps product stock levels healthy and suppliers updated, by automatically generating and emailing purchase orders (POs) and syncing PO statuses in Airtable. --- 📅 Daily triggers Two Schedule Trigger nodes run: One runs at midnight (00:00) to manage low stock and new purchase order creation. Another runs at 1:00 AM to process existing pending POs and email suppliers. --- 🚦 Step-by-step breakdown 1️⃣ Get Products with low stock Searches the “Products Table” in Airtable for items where {stocklevel} <= {reorderthreshold}. Detects products that need restocking. 2️⃣ Get supplier details Fetches supplier data for each low-stock product using its supplier_id. 3️⃣ Calculate Dynamic Reorder Quantity JS code calculates an optimal reorder quantity: Uses averagedailysales × (leadtime × 1.5) × safetymargin (1.2) Adds extra buffer so the new order covers both immediate demand and next cycle. 4️⃣ Search existing POs Looks in the “Purchase Orders” table for active POs (status Pending or Sent) matching each product. Prevents duplicate orders. 5️⃣ Remove duplicate product orders JS node compares current low-stock products with existing POs. Filters out products already covered, so new POs are only created for truly uncovered products. 6️⃣ Create new purchase orders For filtered products, creates new PO records in Airtable with: product_name product_id calculated reorder_qty supplier info and email initial status Pending --- 📧 Process existing pending purchase orders and email suppliers 7️⃣ Get Purchase Orders which are pending Searches Airtable for all POs with status Pending. 8️⃣ Group products with suppliers JS code groups these POs by supplier_id. Builds a summary (total products, total quantity) and an HTML email with a styled table of items. 9️⃣ Send PO emails to suppliers Uses Brevo (SendInBlue) to send emails. Subject and content include supplier-specific order details. 🔄 Update PO statuses to Sent Extracts Airtable record IDs of the sent POs. Updates those POs in Airtable, changing status from Pending → Sent. --- 📌 Summary ✅ Runs every day ✅ Dynamically calculates reorder needs ✅ Avoids duplicate purchase orders ✅ Automatically creates purchase orders in Airtable ✅ Groups & emails daily PO summaries to suppliers ✅ Updates PO status after sending email --- ⚙ Tables involved Products Table: stores products, stock levels, reorder thresholds, average daily sales, supplier references. Suppliers Table: stores supplier emails and metadata. Purchase Orders Table: tracks product orders with supplier IDs, status, quantities, etc. --- This workflow makes daily procurement fully automated: detects risk of stockouts, creates POs smartly, keeps suppliers in sync by email, and updates order statuses in one closed loop — perfect for any small or mid-sized business using Airtable + N8N.
By iamvaarAuto documentation sync: GitHub to Slack with GPT-4o mini summaries
Description: Keep your internal documentation always up to date with this n8n automation template. The workflow listens for GitHub pull request merges to the main branch, detects any changes in documentation files (README, /docs, or OpenAPI specs), and automatically summarizes and syncs updates to Confluence (or internal knowledge systems). It also alerts your team instantly via Slack with a summary of what changed. Ideal for DevOps, technical writers, and engineering teams who want to eliminate manual documentation updates after code merges. ✅ What This Template Does (Step-by-Step) ⚡ Trigger on GitHub Pull Requests: Automatically activates when a PR is merged into the main branch. 🧩 Validate Merge Conditions: Ensures the PR is both merged and targeted at the main branch before continuing. 📥 Fetch Updated Files (README, Docs, OpenAPI): Retrieves key documentation files directly from the GitHub repository for analysis. 🔍 Detect Documentation Changes: Scans payloads for any doc-related keywords or file changes (README, /docs, or OpenAPI). 🤖 AI-Powered Summarization: Uses Azure OpenAI GPT-4o Mini to create a concise 2-3 sentence summary of the changes, perfect for documentation notes or changelogs. 📤 Post Summary to Slack: Shares the AI-generated summary in your documentation-updates or general-information channel for instant visibility. 📢 Team Notifications: Sends a detailed Slack message with PR title, author, repo, and branch for full transparency. 🔁 Continuous Sync: Every merged documentation update is detected, summarized, and communicated—without human effort. 🧠 Key Features 🔍 Smart detection for README, Docs, and OpenAPI changes 🤖 AI summarization via Azure OpenAI GPT-4o Mini 📢 Automatic Slack alerts with PR context ⚙️ GitHub OAuth2 integration for secure repo access 📋 Prevents irrelevant PRs from triggering updates 💼 Use Cases 📚 Keep internal Confluence or Notion documentation in sync with code changes 🧾 Auto-generate release notes or changelog summaries 👩💻 Keep dev and QA teams informed of key doc updates 🧠 Reduce time spent on manual documentation tracking 📦 Required Integrations GitHub (for PR event and file fetch) Azure OpenAI (for doc change summarization) Slack (for instant team notifications) 🎯 Why Use This Template? ✅ Ensures your docs stay current with every merge ✅ Reduces manual copy-pasting and review effort ✅ Keeps engineering, product, and docs teams aligned ✅ Fully extensible—add Confluence, Notion, or changelog publishing in seconds
By Rahul JoshiCurate contributor-friendly issues with AI and send GitHub newsletter via email
Use Cases Receive a newsletter featuring curated, contributor-friendly issues from your favorite repositories. By regularly reviewing active issues and new releases, you'll naturally develop stronger habits around open source contribution as your brain starts recognizing these projects as important. How It Works Collects the latest issues, comments, and recent commits using the GitHub API. Uses an AI model to select up to three beginner-friendly issues worth contributing to. Summarizes each issue—with contribution guidance and relevance insights—using Deepwiki MCP. Converts the summaries into HTML and delivers them as an email newsletter. Requirements GitHub Personal Access Token OpenRouter API Key Google App Password Make sure your target open-source project is indexed at https://deepwiki.com/{owner}/{repo} (e.g. https://deepwiki.com/vercel/next.js) How to Use Update the “Load repo info” node with your target repository’s owner and name (e.g. owner: vercel, repo: next.js). Add your GitHub Personal Access Token to the credentials of the “Get Issues from GitHub” node. Connect your OpenRouter API key to all models linked to the Agent node. Add your Google App Password to the “Send Email” node credentials. Enter the same email address (associated with the Google App Password) in both the “to email” and “from email” fields — the newsletter will be sent to this address. Customization Adjust the maximum number of contributor-friendly issues retrieved in the “Get Top Fit Issues” node. Improve results by tuning the models connected to the Agent node. Refine the criteria for “contributor-friendliness” within the “IssueRank Agent” node. Cron Setup Replace the manual trigger with a Schedule Trigger node or another scheduling-capable node. If you don't have an n8n Cloud account, use this alternative setup: fork the repository and follow the setup instructions. TroubleShooting If there is an issue with the AI model’s response, modify the ai_model setting. (If you want to use a free model, search for models containing “free” and choose one of them.)
By totoma